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BizReport | Blogs & Content January 06, 2014
Top 3 video trends to watch
Video continues to be a hot property in the online space, both because of the number of people watching and because of the number of people who then go on to share those clips. But video has never been a... >>
BizReport | Social Marketing December 30, 2013
Video buffering and freezing leads to negative brand perception
Brands investing in high quality online video are seeing great returns and developing loyal followings but while content and quality are within their control, issues on YouTube such as buffering and freezing are not.... >>
BizReport | Viral Marketing December 26, 2013
Experts: Look for video ad buys, content to change in 2014
More than 47 billion pieces of video content were served in November according to comScore, with more than half coming from the ad sector. With nearly 27 billion video ads served for the month, we thought it would be interesting... >>
BizReport | Internet December 20, 2013
comScore video rankings records surge in video ads
Video viewers in the U.S. saw 26.8 billion video ads in November, 2013, a significant rise from the month before, according to the latest comScore Video Metrix data.... >>
BizReport | Blogs & Content December 13, 2013
What to expect on the video front in 2014
The video space has been a hot ticket throughout 2013 - pre-roll inventories have regularly sold out and more consumers are tuning in each month. But, viewers are also demanding more creative and personalized content and that goes for advertising... >>
BizReport | Advertising December 06, 2013
Report: TV ads pushing engagement, intent
Don't count out television when it comes to purchase intent. That is one of the big takeaways from a new study out from Kantar Media and Placed, which shows that television ads in the lead-up to Black Friday pushed in-store... >>
BizReport | Advertising November 29, 2013
Unruly IDs most shared videos
In the video space most brands aren't just hoping to get a viewer to click through to a landing page - although that click is highly sought after. Most are also hoping the viewer will like the ad enough to... >>
BizReport | Blogs & Content October 23, 2013
Reports: Video ads selling cars, pushing mobile sales
Automotive brands and local sellers may want to take a harder look at online video. According to new data out from Videology, online video is helping to drive more cars off lots. Their research also shows that video views are... >>
BizReport | Advertising October 23, 2013
Slow-loading video more of a turn-off than ads
Extensive analysis of millions of online videos and video ads has revealed that viewers are more tolerant of video ads than they are slow-loading video content, and that ad position has the single largest impact on completion rates.... >>
BizReport | Advertising October 18, 2013
Report: Connected TV ads up 27%
New data out from Videology Group shows an increasing interest in video - both online and via connected devices and televisions. Here's how the numbers shake down:... >>
BizReport | Mobile Marketing October 18, 2013
Over 40% of YouTube traffic comes from mobile
The video website behemoth that is YouTube is now getting a significant percentage of traffic from people viewing content via mobile, according to new figures just released by Google.... >>
BizReport | Internet October 14, 2013
Number of Americans posting video online doubles in 4 years
While there has been consistent growth in the number of Americans watching video online, new figures released by the Pew Internet Project show that significant increase in the numbers uploading or posting videos online. ... >>
BizReport | Viral Marketing October 14, 2013
Platform crosses platforms to better engage
Video holds a lot of potential for brands - the ability to create unique content and engage through interactive messages are two top points. One platform takes video farther, by delivering video through social networks as well as email and... >>
BizReport | Advertising September 02, 2013
Double purchase intent with interactive pre-roll video ads
The ability of interactive video ads to double purchase intent highlights the significant advantage of interactive brand marketing via online video compared with television ads.... >>
BizReport | Advertising August 28, 2013
How personalization is smartening up video
For online video, pre-roll may be a grandfather unit, but it's still pulling in viewers and advertisers alike. The problem with pre-roll is that many ads are simply repurposed from television and many are not properly personalized - or targeted.... >>
BizReport | Blogs & Content August 21, 2013
How digital video will change 2014
Branded video content as well as more traditional video advertising is expected to see a significant increase in 2013. In July comScore reported that 187 million Americans watched more than 45 billion video clips - nearly 20 billion of which... >>
BizReport | Advertising July 29, 2013
RTE taps Adap.tv for programmic buys
One more way for broadcasters to tap into their audience members: programmatic ad buys which target local viewers living or working abroad. Recently RTE, the Irish Republic's largest broadcaster tapped Adap.tv to power programmatic buys outside the Republic - and... >>
BizReport | Blogs & Content July 25, 2013
Study: Video pushing older American's purchasing power
When it comes to engaging older Americans, video may be the best bet of many brands. New data out from a Google/Ipsos MediaCT study finds that 75% of Boomers and 68% of Seniors take some kind of action after seeing... >>
BizReport | Research July 12, 2013
Video pushing consumer interest, releases to help brands connect
New data out from Ooyala, covering the first quarter of 2013, indicates that more and more video is pushing through mobile devices. According to the Global Video Index (Q1 2013) the mobile/tablet share of video views increased by 19% through... >>
BizReport | Advertising June 19, 2013
U.S.: 41 billion online videos watched in May
New figures released by comScore show that 182 million Americans watched almost 41 billion online content videos during May and a record number of ad views.... >>
BizReport | Blogs & Content June 11, 2013
BrightRoll: 92% Canadians watching online video
A new report out from BrightRoll and the IAB is marking 2013 as a 'breakout' year for video in Canada with more than 90% of Canadians now watching online video content. Along with an uptick in the consumption of video... >>
BizReport | Advertising June 06, 2013
TV, display ad budgets raided for online video
Budgets previously reserved for television and display advertising are being diverted to online video, according to a global study by new AOL global branded content business Be On. ... >>
BizReport | Advertising May 16, 2013
UK luxury marketers to spend more on rich media, online video
Research in the UK by media and advertising company Martini Media reveals that marketers targeting consumers of luxury items plan to spend twice as much on rich media and online video that their counterparts marketing to the mass market. ... >>
BizReport | Blogs & Content May 15, 2013
SundaySky: Video views more than double year over year
Video continues on an upswing, that according to new data out from SundaySky. The video hub generates SmartVideos, branded pieces of content set up to engage customers in the acquisition funnel. According to their data video views within SundaySky are... >>
BizReport | Advertising May 06, 2013
Brightroll: Video now leading digital advertising
Consumers are blind to banner ads and may not take the time really delve into social ads, but video is another entity. In fact, new data out from Brightroll indicates that video advertising is now leading the digital marketing space.... >>
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Horror-Inducing Halloween Masks Portray The Effects Of Smoking [Video]
British e-clinic HealthExpress created rubber masks that resemble the faces of smokers afflicted with tobacco-related diseases.
As part of the Stoptober campaign, British e-clinic HealthExpress created rubber Halloween masks that portray the ruined faces of smokers suffering from smoking-related diseases such as throat or mouth cancer and gum disease.
The masks featured faces with rotten teeth, sagging or gangrenous skin, a hole from a tracheotomy, and others. The masks demonstrate the effects of tobacco-related illnesses on one's health, appearance, and life.
HealthExpress have sent out actors wearing the masks to the streets of UK cities that have high smoking populations. The mask-wearing actors went around the streets and handed out anti-smoking pamphlets.
Watch the promo video of the campaign below.
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The New Consumer and Their Journey to Effectiveness, Balance & Personal Growth

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I Still Believe
In 2012, Amy Richards and Cynthia Greenberg co-edited a collection of essays written by Melissa Harris-Perry, Gloria Steinem, Charles Ogletree, Edwidge Danticat and other notable figures spanning three generations. I Still Believe Anita Hill aims to show the many ways in which Hill's testimony inspired both men and women and changed the feminist movement.
(Photo: Courtesy of The Feminist Press at CUNY)
20 Years Later: A Look Back at Key Players in Simpson Trial10/02/2015
How to Prepare for a Hurricane10/01/2015
Meet the Black MacArthur Fellows09/29/2015
Not Just the Flag: Confederate Symbols Across the Nation09/25/2015
The People's Champ: Humanitarian Honors of Muhammad Ali09/23/2015
Justice for Freddie Gray: What's Happening in Baltimore?09/18/2015
What's Happening in Cleveland?09/18/2015
Outrageous School Suspensions09/16/2015
Front Pages From the Day After the 9/11 Attacks09/11/2015
11 Top Companies Hit With Employee Discrimination Suits09/09/2015
Wrongfully Incarcerated: 21 Cases You Should Know09/04/2015
Everything You Need to Know About the Sandra Bland Case08/27/2015
In Their Own Words: #Katrina10Years08/26/2015
Katrina 10 Years Later: Scenes From the Hurricane08/25/2015
10 Years Later: How Hurricane Katrina Changed New Orleans08/24/2015
Crazy Restaurant Receipts08/20/2015
Shaun King Keeps His Blackness Close in Twitter Response08/19/2015
In Memoriam: Julian Bond08/16/2015
Hillary Clinton Wants to Throw Money at HBCUs08/14/2015
10 Events in New Orleans 10 Years After Hurricane Katrina08/10/2015
The Year in Ferguson08/07/2015
Everything You Need to Know About the Samuel Dubose Case08/04/2015
How Michael Brown's Death Fueled Change in 24 States08/04/2015
15 Moments Celebrating President Obama's 54th Birthday08/04/2015
ICYMI: #100Days100Nights Challenge Threatens L.A. Lives07/31/2015
#BlackWomenEqualPay: Twitter Shares Facts About the Wage Gap07/28/2015
A Look at Racial Tensions in Waller County, Texas07/27/2015
Reasons Why Anonymous Believes Sandra Bland Was Murdered07/27/2015
Remembering Transgender People of Color Slain in 201507/22/2015
#JusticeforJonathanSanders Rally Held in Mississippi07/20/2015
#IfIDieInPoliceCustody Twitter Hashtag Shows Sad Reality07/18/2015
Obama Visits Prison, Calls For Fairer Justice System07/17/2015
In NYC, Chokehold Case Is Latest in Series of Settlements07/15/2015
What's Happening in the Walter Scott Case?07/14/2015
The Confederate Flag Debate07/10/2015
ICYMI: Malia Obama Spotted on Set of HBO's Girls07/06/2015
BET News Family of Man Killed by Police... Clip (10/9/2015)
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#Bae: Why Omarion Refusing to Perform at Club DSTRKT Matters 10/07/2015
#CheckMoreFearLess: The Skinny on My First Mammogram 10/06/2015
That Ain't True: Common Myths About Domestic Violence 10/02/2015
Best Breast Cancer Apps 10/01/2015
Clinton: Bush's 'Free Stuff' Comments Are 'Deeply Insulting' 09/29/2015
Are You a Black Republican? 09/28/2015
Fresh Faces: Black Models Killing the Game Right Now 09/11/2015
Venus Williams Earns Business Degree 09/03/2015
The Freedom to Bare Boobs 08/25/2015
9 Percent of North Carolina Voters Would Vote for Deez Nuts 08/20/2015
Back to School: How to Have the Healthiest Year Ever 08/13/2015
Baby Bump Lust: Boost Your Chances of Getting Pregnant 08/12/2015
#BlackLivesMatter Activists Interrupt Bernie Sanders' Speech 08/09/2015
President Obama on Ferguson: 'I Feel A Great Urgency' 08/09/2015


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COLUMBUS, Ohio - Students from Midwestern Seminary and North Central Missouri College were among more than 3,300 volunteer missionaries at 47 venues around the city the week before the Southern Baptist Convention annual … [Read more...]
'Captive' highlights God's grace, Page says
NASHVILLE (BP) – Frank S. Page recalls the moment 10 years ago when he learned the single mother held captive in her Atlanta-area home by an accused murderer and rapist was the same Ashley Smith he had baptized when she was … [Read more...]
This could be the year
In a most passionate way, Dr. Ronnie Floyd is convening Southern Baptists to seek the Lord for revival and spiritual awakening. The urgency of the hour is evident to anyone who cares about life and liberty. The entire … [Read more...]
Macedonia Project targets state's most unreached counties
JEFFERSON CITY — In 2016, Missouri Baptists will launch an initiative, called The Macedonia Project, with a vision for making disciples among the 2.3 million lost people in five counties near St. Louis and Kansas City. The … [Read more...]
Should evangelizing be work or play?
A number of veteran IMB missionaries were given personality tests and then given four samples of print materials to evaluate. Since this was my project, I assumed that the stern accountant-types would choose terse text and … [Read more...]
8 elements leading to community-wide revival
"Jesus Freak" is a label that suits me well. I was part of the Jesus Movement in the 1970s. Our Baptist church's youth group conducted a weekly prayer meeting that attracted many lost kids and youth groups from several other … [Read more...]
Former missionaries fish for men in Joplin
JOPLIN – Wendy's is one of Charles Brock's favorite fishing holes. As he and his wife, Dottie, entered the fast food restaurant, they prayed and glanced around the room. Who needed to receive the Good News today? He took … [Read more...]
Leading real change for evangelizing
The Lord must be trying to tell me something. I've been reading about change and attended what I thought was a seminar on church revitalization, but it was really about leading lasting change. Many of the same principles were … [Read more...]
Are we training our pastors wrong?
The email said, "Mark, we'd like you to address this topic: 'Are We Training Our Pastors Wrong?'" Now, there's a good way to alienate yourself from godly men you have served alongside for several decades! At least I was able … [Read more...]
Servant evangelism: 'Crazy love' lights up Missouri
Reports are coming in from churches lighting up their communities for Jesus! Darron Edwards serves as pastor of United Believers Church in Kansas City. They conducted "Transformers" evangelism training in April. "Mothers … [Read more...]
Plowing, planting, harvesting in your fields
A farmer spent years teaching his son how to plow, plant, and harvest. Through years the farmer grew old. By 1947, the man was a grandfather and his son now had a boy of his own. Together, the two men watched the son plow by … [Read more...]
Statewide Prayer for revival, evangelism begins Jan. 15
SPRINGFIELD – Churches are encouraged to participate in 21 Days of Revival and Evangelism conducted Jan. 15-Feb. 4 to prepare for personal revival. This leads up to FURNACE: the State Evangelism/Discipleship Conference. … [Read more...]
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Combat operations in Iraq may have concluded and the effort in Afghanistan may be on a politically driven timeline to completion, but American service members now find themselves fighting off a new attack - one from their own government.
TRICARE, the military's medical program, is in the cross hairs of the Department of Defense. Citing proposed cuts as "a tough and challenging responsibility," Defense Secretary Leon E. Panetta recommended to the House Budget Committee a TRICARE fee increase of upward of 345 percent. Let's talk numbers.
In 2010 the Defense Health Program (DHP), of which TRICARE is a component, cost taxpayers a total of $48 billion. Out of a 2010 federal budget of $3.5 trillion, DHP therefore accounted for a mere 1.4 percent. And yet since 2009, the Obama administration's funding for welfare has ballooned to more than $430 billion, a 49 percent increase. Perhaps Mr. Panetta should harken back to those heady days when he served as President Clinton's chief of staff. Surely he remembers that Mr. Clinton, forced into pragmatism by a Republican Congress, instituted the most sweeping reforms to welfare in the nation's history, resulting in an astonishing drop in those living off the largesse of others.
Armed with those data, Mr. Panetta could actually take a stand on behalf of those whom he was appointed to lead. To quote Thomas Jefferson, "I think … we have more machinery of government than is necessary, too many parasites living on the labor of the industrious." When a nation looks back over the past decade, there has been no greater display of industriousness than the labors of our service members - many of whom sacrificed all on Lincoln's "altar of freedom."
So it comes down to this: Why not reduce funding to those who have contributed nothing in order to sustain those who have contributed much? Unfortunately, given this administration's ideology, I think I know the answer.
Stafford, Va.


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- A new children's book about cheeky camp dogs is aiming to use familiar ideas to help build literacy in remote communities....Friday 7 June 2013
- Tuesday 20 November 2012
- A new national television series highlighting the adventures of crocodile rangers in the Northern Territory is set to air next week. Drive Presenter Vicki Kerrigan got a taste of the show for herself....Friday 21 September 2012
- Shoes full of sludge and sweat dripping down his brow, Matt Brien pushes aside thick reeds, taller than himself, using two long oars. In just a few metres, he will lead the way into the murky moat of swamp water surrounding an active crocodile nest....Tuesday 10 July 2012
- Earlier this month hundreds of thousands of bats descended on the town of Katherine. They forced the closure of the sportsground and decimated trees in the area. Now many of the bats have moved on. But what brought them to Katherine in the first place and how much do we really know about these animals? ...Friday 16 March 2012
Explore by Topic
Latest Animals stories on ABC Katherine
Latest Animals stories on ABC Online
- Shark nets should be installed along the far north coast of New South Wales according to surfers fed up waiting for effective protection measures to be provided....Friday 2 October 2015
- The host of RN Drive is feeling the pressure to buy her daughter a puppy dog, thanks to a long-running social-media campaign. Even Twitter heavyweights Julie Bishop and Mark Colvin have urged her to bring a four-legged friend into the family. Heather Fraser, an expert in human-animal relations at ...Friday 2 October 2015
- Indonesia's dog eating community is feeling under siege. An order by Jakarta's mayor to investigate dog meat sales in the hope of better regulating the trade has inspectors trawling through restaurants across the capital. In Indonesia, it's not illegal to trade dogs for human consumption, with ...Friday 2 October 2015
- The former leadership team responsible for greyhound racing in New South Wales has faced a barrage of criticism from the man at the helm now. In his role as acting CEO, Paul Newson has appeared at a special inquiry into the industry triggered by this year's live baiting scandal. ...Friday 2 October 2015
- Some refer to them as silent ninjas, others call them dive bombers. But the common name for the iconic black and white bird is a magpie....Friday 2 October 2015


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Our first fundraiser event!
DJ, live band, Christmas light show, raffle prizes and a gathering of filmmakers and film buffs. We'll screen several of our short films from the last few years with breaks to stretch your legs and take in the holiday atmosphere.
For more details visit our website.
Hope to see you!!
I'll be there. You can count on that.
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We just grab a coffee and speak French. Some people have been coming every week for months... it creates a kind of warmth to the group.
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VERSUS Schedule CW24
A new week and a new schedule. This time CS:CZ, ICQ Games, Call of Duty: Black Ops, CS:GO and Call of Duty: Modern Warfare 2 are our featured games for the next week. We hope you like the selection we made for the next week. Have fun and good luck!
VERSUS ScheduleVERSUS Schedule is a weekly programme of several daily actions within VERSUS. This is a great opportunity for you to enjoy more variety in VERSUS as well as for all fans of smaller games to see their favorite game featured for one day with a lot of interested players participating. Furthermore we will activate an XP Boost for the respective VERSUS game of the day.
VERSUS Schedule
Our Schedule for für CW2311.06.2012: Counter-Strike: Condition Zero
12.06.2012: ICQ Games
13.06.2012: Call of Duty: Black Ops
14.06.2012: Counter-Strike: Global Offensive
15.06.2012: Call of Duty: Modern Warfare 2
New game with Counter-Strike: Condition Zero
Monday from 12:00 CET
5vs5 mode available
VS. XP Boost
New game with ICQ Games
Tuesday from 12:00 CET
1vs1 mode available
VS. XP Boost
New mode in Call of Duty: Black Ops
Wednesday from 12:00 CET
3vs3 SD mode available
VS. XP Boost
Admin vs. User in Counter-Strike: Global Offensive
Thursday from 12:00 CET
Play with and against the admins
VS. XP Boost
New game with Call of Duty: Modern Warfare 2
Friday from 12:00 CET
5vs5 SD mode available
VS. XP Boost
Please leave feedback here or in the forums, if you have specific ideas, wishes and suggestions for our VERSUS Schedule.
Good luck and have fun in VERSUS!
bLackhawk, Friday, 08/06/12 17:07
08.06.2012 18:33 #1
7 medals
10.06.2012 13:17 #2
7 medals
Mount&Blade: Warband? =(
1 edits
edited by Synche 10/06/12
11.06.2012 11:38 #3
1 medals
It's ridiculous they overlook the fact that Mount & Blade: Warband was the most voted and didn't even make the list. It really is incredible such incompetence... Over 100 votes...
13.06.2012 12:01 #4
7 medals
+1 Coimbra
- info write comment not allowed


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A Splendid Proof Half Pond!Republic gold Proof Half Pond 1892, KM9.1, Hern-Z38, double shaft, reeded edge, estimated mintage 20 pieces (Hern), PR64 Cameo NGC, a wondrous specimen possessing fabulous eye appeal: perfect impression of the dies, fields so deeply mirrored that they seem to be bottomless pools of golden light, Kruger's bust crisply detailed with subtle contrast against the field but the reverse motif and legend are heavily frosted, perfect rims sharply squared off with wire edges -- all of these qualities producing a coin of stunning eye appeal. The surfaces possess the subtle orange-peel texture seen only on genuine proofs. The numerical grade assigned to this superb coin may be a bit conservative, but the high degree of technical quality is unquestionable to the discerning eye. We have never seen or heard of a finer or more beautiful specimen. Extremely rare.
From The Orange River Collection Krause catalog price(s) for this item: $400 in VF, $550 in EF, $1100 in UNC.
Please note: Many Krause World Coin catalog prices are updated infrequently. Therefore this information is offered to bidders as a time-saving convenience only. Some Krause prices may be outdated and/or inaccurate due to fluctuating markets, newly discovered hoards, data entry errors (whether on Krause's part or ours) or other factors.
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The city will no longer invest pension funds in the top 15 carbon-emitting coal companies in the country, Mayor Jorge O. Elorza said. more
By PBN Staff
Jamie Worrell, founder and president of GPS Investment Advisors, has been named to the 2015 Financial Times Top 401 Retirement Plan Advisors list. Worrell has been consistently recognized for his work, including being named one of the Top 100 … more
1 You've returned to your home state to become Citizens Financial Group Inc. Rhode Island president. What's your take on Rhode Island's retail and commercial banking marketplace? I believe Rhode Island is poised for even greater success as … more
Bank of America Corp., the second-biggest U.S. lender by assets, posted profit of $3.36 billion in the first quarter as expenses declined. more
By Hugh Son
Hasbro Inc. reported an increase in revenue in the first quarter that ended March 29, boosted by 22 percent revenue growth in the preschool segment. more
By PBN Staff
The rich are getting richer in U.S. higher education, a new report shows. more
By Michael McDonald
Tiffany & Co., the luxury jewelry chain, posted first-quarter profit that exceeded analysts' estimates after newer products such as its T collection helped fuel sales. more
By Lindsey Rupp
Just a week after turmoil from Greece and China put a lid on corporate bond deals, Wall Street's underwriters are springing back into action. more
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International Game Technology released first-quarter earnings on Wednesday, showing a sales increase year over year, but a net loss for the same period. more
By PBN Staff
The headlines screamed across the Web yesterday: Picasso's Women of Algiers smashes auction record. Two Artworks Top $100 Million Each at Christie's Sale. Picasso Painting Sells for $179.4 Million; Sets Auction Record. more
By James Greiff


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I'm fashionably late for this month's collection as I've been occupied with other things, so much so I haven't blogged for a month! Do forgive me, I am hoping normal service will be resumed soon.
September's List
What a tangled web we weave........ahem.
A £3 bunch from Aldi, still beautiful 10 days after purchase.
The best I could do!
So many possibilities for this category and I came up with this!
I regularly cycle through farmland on my bike rides and shot this wheat field earlier this year.
Google suggests it is dreamy.
Whatever you want
Pea green
Do head over to Made With Love where you can see the other entries and prompts for October and why not have a go yourself?.......Yes Géraldine, I think you should!


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William P Siedlecky
Binghamton, NY
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|Publication number
|Publication type
|Application number
|Publication date
|Feb 17, 2005
|Filing date
|Aug 13, 2003
|Priority date
|Aug 13, 2003
|Also published as
|Publication number
|Ori Eisen
|Original Assignee
|Ori Eisen
|Export Citation
|BiBTeX, EndNote, RefMan
|Patent Citations (4), Referenced by (18), Classifications (10), Legal Events (3)
|External Links: USPTO, USPTO Assignment, Espacenet
1. Field of the Invention
This invention relates to data analysis and more specifically to the analysis of data for possible or probable fraud or error and for correspondingly minimizing the liability and exposure of individuals and/or entities as a consequence of compromised credit card information. A single data field taken from a suspected fraudulent transaction or entry is used to track all related transactions or entries and in the case of credit card transactions used to minimize liability to the credit card company and the proper credit card holder. The invention can detect additional fraudulent or "hidden" entities which may have used a common (and probably compromised) data key value and/or element to the originally suspected fraudulent or error-containing transaction or entry. This helps to search for transactions, identities and information that otherwise wish to remain hidden. The present method can help with maintaining financial records, eliminating or reducing money laundering, tracking fraud and/or terrorism and preventing the use of compromised information in the same or other databases by those who otherwise wish to conceal their improper transactions, entries and/or identities.
2. Description of Related Art
Nearly every business and individual in the United States and around the globe depends on the accurate and secure maintenance of data such as financial and identity-related data. Data is compiled in many different formats, but one format of particular interest in remaining uncompromised and unused by unauthorized individuals is transactional data, e.g., the use of a person's credit card to purchase goods or services. It is crucial to ensure that credit card information does not become stolen, compromised or erroneously recorded. In these situations, the consumer and the credit card company suffer the loss while the thief or thieves of the information improperly use it to effectively pillage and loot (and to hide from authorities). In the case of the erroneous, in contrast to fraudulent, recordation of credit card information, while inadvertently assigning a transaction (and debiting an account) to the wrong person may be a malice-free mistake, it still causes great consternation for all parties concerned. Errors in credit card transactions have economic costs, too, and, therefore, the elimination or reduction of errors as well as fraud is desirably sought.
The review of transactional data such as on-line credit card based-purchases for error or fraud has become an important tool in rooting out terrorist operations. The Defense Advanced Research Projects Agency has recently begun a program alternatively called Total Information Awareness and the less draconian-sounding Terrorism Information Awareness (TIA) program or plan, the purpose of which is to detect and defeat a terrorist attack before it occurs by using and analyzing available databases, financial and other forms of information. One of the proposed goals of TIA is to "connect the dots" of terrorism-related activity so that the ultimate result of the activity (i.e., an attack) is not realized. The project, currently in its nascent stages, depends or will depend at least in part on analyzing data, especially transactional and credit card transactional data, to discover patterns of activity that will lead the authorities to the whereabouts and identities (and possibly their plans and objects) of terrorists and their organizations. Of course, the present invention is also applicable to matters of lesser importance than national security, e.g., determining if a stolen credit card has been used or its number compromised and unauthorizedly used one or more times by another or many others. These thieves often try to establish new transactions with the same credit card number, and/or identity. Identity theft is today a serious problem. The present invention seeks to minimize the use of key information obtained by one who improperly gains access to a credit card transaction and uses the information, not just the credit card number, to his unlawful advantage.
Transactional data can be analyzed, one transaction at a time for indications of possible fraud or error. As used herein, fraud occurs when incorrect information is deliberately included in a credit card-type or identify verifying-like transaction, typically to deceive the recipient of the data into releasing goods, services or information. The most common example is when a stolen card or number is used to buy goods over the internet (or telephone) with the goods being sent to a different address than that normally associated with the credit card holder. Error occurs when incorrect information is inadvertently included in the transactional record. For example, a single credit card transaction over the phone or internet can include a name, a billing address (including street, city, state, zip code, country, etc.), an e-mail address, a credit card number, a shipping address; and an expiration date for the credit card. The actual residence or business location for billing purposes corresponding to the zip code of the shipping address can be compared. The business address (number and street, along with town or city) can also be compared to the actual city and state corresponding to the given zip code. If there is a discrepancy, an error or fraud can be suspected. If the given zip code in the transaction corresponds to the actual zip code of the information on a database, then there is a greater possibility that the transaction is legitimate. If the transaction is being done online, the host name or number of the Internet Protocol ("IP") source address can be used with a reverse IP lookup utility database to determine if the recorded host name in the database is associated with the now given source address. This, too, can be useful in detecting error or possible fraud. Information corresponding to the automatically transmitted host name can also be compared with information manually entered in the online transaction. For example, if the host is located in Croatia and the address submitted in the transaction is Japan, then the transaction seems suspect.
Examining the information in a single transaction, as just discussed, can be useful in determining the risk of fraud or error within that transaction. However, certain transactions that contain fraudulent or erroneous information are, nevertheless, internally consistent. For example, even though a city and state address is deliberately incorrect and thus fraudulent (i.e., as entered by the thief/terrorist), the provided zip code corresponds to that city and state. Hence, there is no discrepancy between the zip code and the city and state, so the purely internal detection method discussed above would not indicate fraud or error. Likewise, the reverse IP lookup of an online transaction can reveal a host located in the same location/country as is indicated in the city and country manually submitted in the transaction, again, even though such information is fraudulent. A method is believed needed to detect possible fraud or error in transaction information, even when it is internally consistent, one record considered at a time. By linking known fraud (as when a credit card has been reported as stolen) with possible or potential fraud, eliminating or reducing fraud can be accomplished.
This, according to the present invention, is basically accomplished by connecting all of "the dots" by using information in the database in a thorough and scientific way (vs. random).
It is an object of the invention to provide a method of detecting the presence of fraudulent or erroneous data in a transaction database. Rather, once one suspicious record in a database, a credit card transaction, for example, is identified, a rogue data element is considered and used to search for related records. So, for example, if you begin with one credit card number as having thought to be compromised, the email address associated therewith can be used to determine if further usages of it may lead to other transactions which may be fraudulent. This second transaction, then, can be linked to other transactions with the same credit card or not and so on. Using that logic and method, one can build a "tree" of information that will finish "growing" when all combinations derived from the initial data element are done. Then, key values of the second or additional related transactions can be used to search the database to determine if there are additional transactions which may be suspect.
It is another object of the invention to provide a method for detecting fraudulent or erroneous data in a transaction database in which the same data queries are not run multiple times. This shows the elegance of the present invention and its efficiency of operation. It is an aspect of the present invention to ensure that the same data queries are not repeatedly "run" through the database but, rather, a listing of the data queries is maintained and each time a new query is considered, before it is run on the database, it is first checked against already considered and run queries to determine the necessity of running the query. This is efficient and methodical.
It is another object of the invention to provide a method for detecting fraudulent or erroneous data in a transaction database in which patterns of errors or fraud are detectable.
The above and other objects are fulfilled by the invention, which is a method for detecting fraudulent or erroneous data from a transaction data set. A transaction record thought to have been compromised and having a plurality of key values is selected from a transaction record database. One of the key values is selected from the selected transaction record. The entire transaction record database is then queried for transaction records having the same selected key value. Alternatively, a first record of a database could be considered, even if no fraud is suspected. Then, a first key value taken from it is used as the queried entry for other records to see if it is linked to other transactions or records. All selected key values of the first record are searched through the database. Uncovered records are added to a list. Then, the key values of those records used to search the database (avoiding duplicative queries). A listing of possible erroneous or fraudulent transactions or records is developed.
As mentioned, after the key values of the first record are searched through the database, subsequent records could be similarly used, a key value at a time, to see if possible fraud or error exists in the transaction record database or portion thereof. Another way to describe how the method of the invention is intended to work, is possibly analogizing it to tapestry. Each data or key value element can become a thread from which the entire rug of possible deceit may be woven—no matter which data element or key value you begin with of a record, you will find all related records. A second or subset of transactions of the database is thus compiled of transaction records that contain duplicates of the selected key value(s). So, for example, if the e-mail address of a user appears in two records, those records are put into a possible suspect directory or listing. If the home addresses, however, and names of the identity for the records are the same, then the records may be legitimate. However, if the names of the identities or addresses of the users in the records having the same e-mail addresses are different or their actual residences, the use of the same e-mail tends to indicate probable fraud. Looking then for additional transactions where the same e-mail address is used, or the same home residence, may uncover additional fraudulent transactions. At least one other key value is also selected from the original transaction record, and the transaction record database is queried for all transaction records having the second key value.
The results of the second and any subsequent queries are added to the second database, i.e., the possible suspect directory or listing. Each time that the main database record is considered to be queried for a key value, that query is first checked to the list of queries so that the same query will not be repeated on the database. If already done, it is not repeated. If not done, it is added to the query list and done. This is economic, efficient, and eliminates possible endless processing loops by the compiler. Thus, a list of queried key values is compiled into a key value database so as to prevent the same query from being used more than once. Risk coefficients, corresponding to probabilities of error or fraud, are assigned to the results of the queries as a listing of the transaction records satisfying the queries is compiled in the second or suspected transaction listing is created.
A new query is then made of the transaction record database with either a new key value from the same transaction record initially selected and/or with a new key value from a different record in the transaction record database. Once the second database (or suspect listing) is compiled (or while it is being compiled), risk coefficients are assigned to the transaction records in the second database based on the type, quality, or number of queried (or flagged) and common key values a given transaction record has and/or based on the number of transaction records in the second database having a given matching key value.
The key values of the transaction records in the transaction record database for credit card-type transactions correspond to identification data, including but not limited to a credit card number, a bank account number, a name, an address, an e-mail address, a telephone number, a fax number, a social security number, a merchant identification number, and a product identification number. In this way, patterns of purchasing (or transactions in general, i.e., the method and system can be used with reference to applications for passports, for a visa, for a driver's license, for loan applications to a financial institution, etc.) can be reviewed and instances of fraud or error may emerge. The method and system of the present invention can be used with multiple databases to determine possible error and fraud. The databases can be widely varied, as briefly just referred to, and more, of course. For the purposes of the present description, however, I have focused on credit card transactions for ease of illustration, it being understood, however, that the invention is far broader than that specific application.
The present invention can advantageously detect the risk of fraud or error in a record of a credit card transaction by comparing selected identification data (often referred to as "key values" of one record to the corresponding "key values" in the other records of other transactions in the database. In this connection, for example, and in specific reference to the type of transaction used for illustrative purposes, a credit card transaction, a "key value" means and includes but is not limited to a credit card number, a name, an address, an e-mail address, a "ship to" address, etc. According to the present invention, even an internally consistent transaction, for example, where the address and zip code are correct, but where the transaction is otherwise fraudulent or erroneous can be detected as a higher risk transaction.
The method and system work best when a suspected transaction of fraud is the first record to be considered and a key value selected from that transaction but the method and system can also be used on an entire database by using certain (or all) key values from any one or more records and then querying the entire database to determine instances of common usage, overlap, and possible fraud or error. In the credit card scenerio, the essence of the invention is to link known stolen credit card information or fraud with all potential or actual fraud that can be found through comparing key values, both direct matches and also by use of "like" statements for fuzzy-logic matching.
In accordance with an embodiment of the present invention, a record of each credit card transaction is stored in a database. Each record can be a correlated set of data that can correspond to a single credit card type transaction whether conducted online, by telephone, in person or in another credit card transaction. The record contains two or more fields of information, also known as "keys." For example, each record for an online type of credit card transaction can have the keys "unique record identifier;" "name of credit card holder;" "street address;" "city;" "country;" "state;" "e-mail address;" and "credit card number." The key in each of the fields of a credit card transaction record has a value, whether arithmetic, letters, symbols, or a combination of the same. For example, the "unique record identifier" key in one record may have the value "B000139;" the "name of credit card holder" key may have the value "Sanford Q. Burns" ; the e-mail address may have the value "firstname.lastname@example.com," etc. A "data set" can be compiled of all records taken from the master database having certain of the same key values or by using fuzzy logic, related or close to identical key values. The records in the master or transaction database can be reviewed and compared by using a database query language, such as SQL.
In accordance with an embodiment of the present invention, one record (in the case of credit card transactions, a suspected compromised credit card number) from an online credit card transaction database or set is selected, and a key value (for example, the credit card number or the e-mail address) for the record is selected. The initial record selected from the database or set can be one that is known or suspected to be fraudulent or erroneous. For example, a record having a credit card key value equal to a credit card number that has been reported to have been stolen can be a good candidate for the starting record. The key value that can be selected from this record can be the credit card number key value or the e-mail address of the user (or the user's name or identity).
The transaction database is then searched for all records having the same key value as the selected key value, i.e., the compromised or stolen credit card number or the e-mail address. In the above example, the transaction database or set is searched for all records having the same stolen credit card number or e-mail address. The new records so identified are copied to a second data set called the DataDistinct Data Set. A Query Listing showing each of the selected key values which are used for the search of the entire database is recorded and updated each time that the database is reviewed with a new "key value." Then, at least one other key value from the initial record (or from one of the revealed transactions which used the same credit card number) can be selected, and the transaction data set searched for all records having identical key values to the second selected key value. For example, if the initial fraudulent record, in addition to the stolen credit card number, includes an e-mail address, e.g., "firstname.lastname@example.com," then all of the other records in the transaction database are searched for the value corresponding to the same e-mail address or second key value used in the transaction record having the compromised credit card number. If a second record is found with the same credit card number which was reported as stolen, then the key value, for example, of the e-mail address of that transaction, may be used to detect other transactions with the same e-mail address, even though they may not have used the same credit card number. This transaction, too, may be suspect. The entire database is searched for that key value, the list of Query Listings of key values updated, etc. The underlying assumption is that an entity submitting fraudulent transaction information may reuse at least part of the same information from transaction to transaction. When all of the key values of the initial fraudulent record have been used to find other records in the transaction database, the key values of the found records can be used as the basis for still further searching. In this way, a cluster of related fraudulent transactions can be uncovered for further investigation.
The mechanism for formulating and tracking the queries can include placing each query into a list of Query Listings or a data set called SQLCodes. In SQLCodes, the query itself can be the primary key, so that if any duplicate query (a query identical to one already asked) is generated, it cannot be added to SQLCodes, and the query is advantageously not rerun. In essence, queries can be generated much faster than new records are added to the DataDistinct Data Set. So new queries are queued in the SQLCodes data set, and can be run sequentially, or in any other suitable order.
A more detailed example follows: Consider a transaction database of online credit card transactions comprising a set that includes thousands of records, 7 of which are listed below, with each record having values for the keys values "Transaction Identifier;" "User Name;" "E-Mail Address;" and "Credit Card Number" as follows:
Transaction Data Base Transaction Credit Card Identifier User Name E-Mail Address Number 1 Alan email@example.com 12345 2 Daniel email@example.com 45287 3 Joe firstname.lastname@example.com 78989 4 Phil firstname.lastname@example.com 12345 5 Carl email@example.com 45287 . . . 164 Tracey email@example.com 78989 . . . 328 Wilma firstname.lastname@example.com 78989 . . .
Record 3 is identified as a likely fraudulent transaction, for example, because credit card number 78989 has been reported as stolen. Pursuant to the method of the present invention, Record 3 is selected for use of its Key Values and application of those key values to the remainder of the database to determine whether other transactions, even if they have used other credit card numbers, are likely fraudulent:
Transaction Identifier User Name E-Mail Address Credit Card Number 3 Joe firstname.lastname@example.com 78989
A query is first generated to select all records from the transaction database or set (consisting, in the example, of thousands of Transaction Identifiers 1-x; although number 3 need not be considered in the next step) that have the same or a similar or fuzzy logic-related key value as a selected key value Record 3. For example, the query "SELECT Email FROM DataSet WHERE (firstname.lastname@example.com')" is generated. It could, of course, be a query for the user's home address, or the IP address used for the online transaction, whatever keys and key values are maintained in the records. In the example, however, for simplicity it is the query for the e-mail name given by the user of the credit card number under consideration in the transaction. This query (for the e-mail address) is then added to an SQLCodes Data Set or Query Listing table:
SQLCodes Data Set Query ID# Query Ran 1 SELECT Email FROM DataSet WHERE No (firstname.lastname@example.com')
The Query ID# field is the query identifier, and "Ran" is an indicator or "flag" of instructions to the user or processor that indicates if the query has yet been run against the balance of the transaction database or set. The system is designed to run each of the SQLCodes Data Set queries until all Query ID#'s are reflected as "Yes" under the Ran Query. The default value of Ran can and should be "No." After the SQL query has been run (i.e., the question has been asked by the computer system of the transaction database or set and the results entered into the DataDistinct Data Set), the indicator or Ran flag is set to "Yes." When a Ran inquiry results in a NULL or empty set, the system or method is complete. Until then, each "No" indicator directs the system to run that query on the Transaction Data Base. The SQLCodes Data Set or Query Listing field can be initially set at the primary key value, i.e. the credit card number which is thought to have been stolen or compromised. One of the advantages of using the SQLCodes Data Set is that it will enable the investigator to know whether a particular query was entered or not. Other advantages of maintaining a listing of the queried key values is to allow instant access by the investigator as to which query has already been run against the transaction database or set; to know how many queries there are; and how many have been run; and to limit the queries to one type of each (to reduce redundancy). By first setting the Query Listing field to the primary key e.g., the credit card number or the e-mail address, one also is given knowledge of which question is next (e.g., by issuing the command, "Select SQL FROM SQLCodes WHERE (Ran=No"); to know when one is finished asking questions (e.g., receiving a null return value from the query, "Select SQL FROM SQLCodes WHERE (Ran=No"); and to have an audit trail that can show how a "tree" of related records was developed by following the Query Listing or SQLCodes sequence.
After the first key value is considered for being run or after it is actually searched through the Transaction Data Base and all records with the same e-mail address posted to the DataDistinct Data Set, another key value taken from Record 3 can be used as the basis of a second query of the entire database. For example, the query "SELECT CCN FROM DataSet WHERE (CCN='78989)" is generated, where "CCN" is shorthand for "credit card number." This query is then added to the SQLCodes Data Set or Query Listing:
SQLCodes Data Set Query ID# Query Ran 1 SELECT Email FROM DataSet WHERE No (email@example.com') 2 SELECT CCN FROM DataSet WHERE No (CCN='78989)
Also, the query "SELECT Name FROM DataSet WHERE (NAME=Joe)" can be generated and added to the SQLCodes Data Set or Query Listing:
SQLCodes Data Set Query ID# Query Ran 1 SELECT Email FROM DataSet WHERE No (firstname.lastname@example.com') 2 SELECT CCN FROM DataSet WHERE No (CCN='78989) 3 SELECT Name FROM DataSet WHERE No (NAME=Joe)
Once the initial SQLCodes Data Set or Query Listing is finished, Query ID #1 can be actually run against the entire transaction data set, and all records containing the e-mail address "firstname.lastname@example.com" are selected and copied to the DataDistinct Data Set (which already contains the initial transaction under scrutiny). In the example, this will result in the DataDistinct Data Set looking as follows:
DataDistinct Data Set Transaction Identifier Name Credit Card Number 3 Joe email@example.com 78989 4 Phil email@example.com 12345
The Transaction Identifier is the identifier for a record in the original Data Base or Set. It can be set, alternatively, as a new number for the Data Distinct Data Set. Meanwhile, the Run flag for Query 1 in the SQLCodes Data Set or Query Listing is changed to "Yes." This will prevent needlessly rerunning that query. Query 2, relating to the credit card number, can then be run, which copies two additional records (Records 164 and 328) to the DataDistinct data set:
DataDistinct Data Set Transaction Identifier Name Credit Card Number 3 Joe email@example.com 78989 4 Phil firstname.lastname@example.com 12345 164 Tracey firstname.lastname@example.com 78989 328 Wilma firstname.lastname@example.com 78989
Records 164 and 328 have no other key values in common with records 3 or 4, except the credit card key value 78989. The discovery of these additional records increases the magnitude or probability of risk associated with all of the selected records (3, 4, 164 and 328), because several apparently unrelated individuals, some with different e-mail addresses do not ordinarily share the same credit card number, unless the number is stolen and it has been compromised. Therefore, each of these transactions is assigned a "risk" of being fraudulent or erroneous, and some corrective or further investigative action can be taken. Such appropriate action can range from further investigation to automatically blocking the fulfillment of the transactions or at least until the investigation is complete.
Next, Query 3 is run, but, in our example, there is no other record in the transaction data set that has a key value of "SELECT Name FROM DataSet WHERE (NAME=Joe)". No records are added to the DataDistinct Data Set. Nevertheless, the flag for the "Ran" for Query #3 is changed to "Yes."
The same procedure can be repeated now for another record in the DataDistinct Data Set, such as Record 4. There is no need to run the e-mail address Query Listing for "SELECT Email FROM DataSet WHERE (firstname.lastname@example.com')", since the Query Listing or SQLCodes Data Set indicator already indicates that that query has been run. However, the Query Listing for the credit card number, SELECT CCN FROM DataSet WHERE (CCN='12345')", is added to the SQLCodes Data Set or Query Listing and then run for all remaining records. Then, the name query "SELECT Name FROM DataSet WHERE (NAME=Phil)" for record 4 is considered, first compared to the Query Listing or SQLCodes Data Set to ensure against duplication and, if not present, added to the Query Listing or SQLCodes Data Set and run. Uncovered records are added to the DataDistinct Data Set. Then, the e-mail query for the next transaction is considered, e.g., email@example.com; then the CCN query CCN=78989 considered (determined to have been run), then the name query considered (name=Tracey), etc., transaction after transaction. In this fashion, all of the "leads" provided by different key values in records that are directly or indirectly related to an initial fraudulent or compromised record can be followed-up to possibly find other suspect transaction records.
This procedure can generate duplicate potential queries. For example, the key value for the credit card number CCN=78989 occurs in several of the records in the DataDistinct Data Set. So when key values in, say, Record 164 are used as the basis for new queries of the Transaction Data Set, the query "SELECT CCN FROM DataSet WHERE (CCN=′78989)" will be considered, just as it was from the last field of Record 3. The present invention advantageously prevents repeat searches based upon such duplications by the use of the SQLCodes Data Set. In the SQLCodes Data Set, the query is designated to be a primary key. So any query that is a duplicate of a query already in the SQLCodes Data Set cannot be added and will not be re-run. Since the queries are run from the SQLCodes Data Set, the duplicate query will not be run. This elegant solution prevents repeat searches of the Transaction Data Set for the same records using the same keys or values.
However, duplicate records may or may not be added to the DataDistinct Data Set. In the above example, Record 4 will be selected a first time by Query 1 because Record 4 has a key value where the e-mail address email@example.com is present. Record 164 and 328 will be added to the DataDistinct Data Set by Query #2 because those records have key values which satisfy the Query Listing for the Credit Card Number=78989. Record #1 will be added to the DataDistinct Data Set by the Query relating to CCN=12345, because of the common use of the e-mail address to both records 3 and 4 which caused the credit card number of record #4 to be suspect and the subject of a Query Listing. Duplicate records can be excluded from the DataDistinct Data Set by making the DataDistinct Data Set record identifier the same as the transaction data set record identifier, and then making the DataDistinct Data Set and only adding to the Data Distinct Data Set when a new Transaction Identifier is located and found.
The records that have been determined to be directly or indirectly related to a bad record can, if desired, be copied into a Suspect Data Set, and can be assigned an indicator or value as to the risk associated with each record, group of records, or the whole Suspect Data Set considered highly suspect. For example, a record can be placed into a High Risk Data Set, a Medium Risk Data Set, or a Low Risk Data Set (types of Suspect Data Sets), depending upon the risk level associated with the record and the common use of the key values and their characteristics. In the above example, the Suspect Data Set may include:
Suspect Data Set Transaction Credit Card Identifier Name Number Risk 3 Joe firstname.lastname@example.com 78989 High 4 Phil firstname.lastname@example.com 12345 High 164 Tracey firstname.lastname@example.com 78989 Medium 328 Wilma firstname.lastname@example.com 78989 Medium
The indications of risk level can be made in accordance with any suitable rule. In this example, a record that an e-mail address with a different name and credit card number may be considered a risk level of "High." A record that shares the credit card key value with no more than one other key value of a record is accorded a risk level of "Medium" since many family members may share a credit card but have different e-mail addresses and names. Transactions can be treated according to their risk level. For example, high risk transactions can be automatically rejected. Medium risk transactions can be referred to a human researcher for further investigation. Low risk transactions can be automatically accepted and processed.
The description of embodiments is meant to illustrate, and not to limit, the true scope of the invention. Those of ordinary skill in the art will appreciate that the scope of the invention extends beyond the examples discussed above. For example, a key value can be used as the basis for searching for similar key values in other records in the transaction data base or set, not only identical records. Also the keys can be searched in multiple databases, such as looking for people with the claimed same SSN, Driver License numbers and Passports and all their combinations. There can be different similarity rules for different key values. For example, a single digit difference in credit card numbers in two records can indicate that two entirely different credit cards were legitimately used in two transactions. However, the name "Al Wilkinson" in one record may be deemed sufficiently similar to the name "A Wilkinson" in another record to select the two records and copy them to the Suspect Data Set. Known techniques, including those involving fuzzy logic, can be advantageously used to match key values in accordance with an embodiment of the present invention.
In the example above, for example, the uncovering of 78989 as the value for several credit card numbers in a few transactions may cause the method to run a Query Listing where e-mail name is "firstname.lastname@example.com" or email@example.com. If the DataDistinct Data Set results in additional transactions which use the same CCN, the same e-mail name values, but different name values, these transactions, too, can be added to the Suspect Data Set. As transactions and key values are added to the Data Distinct Data Set of transactions, the system keeps on looking in the SQLCodes for new key values.
To start the present invention and method, one places a SQL Key Value of a Transaction into the SQL Codes Data Set or Query Listing with the Ran indicator set to "No," this is what makes the system start with that key value and query and keeps looking for other records using the same key values and then uses other value keys from the same record for building a DataDistinct Data Set. Then, after that first record and its key values are considered for the entire Transaction Data Set, the next record of the Data Distinct DataSet is considered, first by use of its, for example, e-mail name, then its credit card number, CCN, finally its user's name. If not yet used and run, then it is run through the entire Transaction Data Set. If already used and run, determined by comparison to the Query Listing, then the next query listing is used. So at first the system is run with the key value seeking other transactions with the same e-mail address: firstname.lastname@example.com. This may or may not uncover other records but if it does, they are added to the DataDistinct Data Set. Then the system looks for the common transactions with CCN of the first transaction and records them, too, unless already indicated on the Data Distinct Data Set. Then, the database is run for the Name key value. After those logic runs are performed, the next transaction recorded in the DataDistinct Data Set is looked at. If the e-mail query is the same as that already done, it is not redone. Then, the system moves onto the CCN query and then the name query, each time looking at all transactions, each time indicating on the SQLCodes Data Set or the Query Listing which queries have already been done, each time changing the query from Ran=No to Ran=Yes. When all key values of all transactions on the Data Distinct Data Set have been performed the results are ranked by probabilities of fraud. When Ran=No equals NULL, i.e., all Queries have been done such that no additional queries need to be run, the system is finished, as there are no more combinations that stem form the initial suspect transaction.
In one embodiment, wildcards can be used to detect similar (as well as identical) records. For example, if numerous bad transactions have been detected with e-mail key values that conform to *@whodunnit.com, where "*" is a wildcard, that can represent any string of any length, then a query can be formulated: SELECT Email FROM DataSet WHERE (EMAIL IS LIKE "*@whodunnit.com").
This query can advantageously identify all records having e-mail key values with the domain name "whodunnit.com", such as "email@example.com" email@example.com", etc. Likewise, any wildcard can be used in formulating such queries. For example, "!" can represent any single character.
Likewise, Boolean expressions can be used in queries. For example, SELECT Email FROM DataSet WHERE (firstname.lastname@example.com' AND NOT 'email@example.com'). This query could be used where the only known legitimate user of an e-mail address containing "whodunnit.com" is userjoesmith. Other Boolean expressions (e.g., AND, OR, etc.) can also be used.
By developing clusters of related transactions, patterns can begin to emerge. For example, if the same credit card number is used over disparate geographical areas at substantially the same time, fraud is suspected. Alternatively, if the credit card number is used to purchase repeated quantities of legal but dangerous materials (e.g., fertilizer and kerosene), a danger signal or flag may be raised that terrorist activity may be afoot.
Having described the invention with regard to specific embodiments, it is to be understood that the above description is not meant as a limitation excluding such further variations or modifications as may be apparent or may suggest themselves to those skilled in the art. The invention is defined by the claims appearing herein below.
|Cited Patent
|Filing date
|Publication date
|Oct 28, 1999
|Feb 18, 2003
|Choicemaker Technologies, Inc.
|Probabilistic record linkage model derived from training data
|Oct 11, 2001
|May 30, 2006
|Iconix Pharmaceuticals, Inc.
|Interactive correlation of compound information and genomic information
|Feb 12, 2002
|Aug 14, 2003
|Junh-Hsien Tu
|Automatic storage and retrieval system and method for operating the same
|May 9, 2002
|Feb 12, 2004
|Merkle James A.
|Systems and methods for the prevention of unauthorized use and manipulation of digital content
|Citing Patent
|Filing date
|Publication date
|May 31, 2007
|Dec 8, 2009
|Red Hat, Inc.
|Distributing data across different backing data stores
|May 11, 2009
|Oct 4, 2011
|Red Hat, Inc.
|Federated document search by keywords
|May 11, 2009
|Oct 4, 2011
|Red Hat, Inc.
|Searching documents for successive hashed keywords
|May 11, 2009
|Oct 11, 2011
|Red Hat, Inc.
|Federated indexing from hashed primary key slices
|Sep 20, 2007
|Apr 24, 2012
|Vodafone Group Plc
|Fraud detection system
|Mar 4, 2011
|Jun 4, 2013
|Brighterion, Inc.
|Systems and methods for adaptive identification of sources of fraud
|Jan 14, 2013
|Apr 29, 2014
|University Of Tennessee Research Foundation
|Method and apparatus for predicting object properties and events using similarity-based information retrieval and modeling
|Jun 16, 2009
|May 27, 2014
|Red Hat, Inc.
|Automated and unattended process for testing software applications
|Jan 30, 2013
|Jun 24, 2014
|University Of Tennessee Research Foundation
|Method and apparatus for predicting object properties and events using similarity-based information retrieval and modeling
|Dec 4, 2012
|Jul 8, 2014
|University Of Tennessee Research Foundation
|Method and apparatus for predicting object properties and events using similarity-based information retrieval and modeling
|Feb 7, 2013
|Jul 8, 2014
|The United States Of America As Represented By The Secretary Of The Army
|Method and apparatus for predicting object properties and events using similarity-based information retrieval and modeling
|Dec 5, 2007
|Jul 8, 2010
|Bce Inc.
|Methods and computer-readable media for facilitating forensic investigations of online transactions
|Mar 4, 2011
|Sep 6, 2012
|Akli Adjaoute
|Systems and methods for adaptive identification of sources of fraud
|May 16, 2013
|University Of Tennessee Research Foundation
|Method and apparatus for predicting object properties and events using similarity-based information retrieval and modeling
|Jan 14, 2013
|Jun 20, 2013
|University Of Tennessee Research Foundation
|Method and apparatus for predicting object properties and events using similarity-based information retrieval and modeling
|Jan 30, 2013
|Jun 20, 2013
|University Of Tennessee Research Foundation
|Method and apparatus for predicting object properties and events using similarity-based information retrieval and modeling
|Feb 7, 2013
|Jul 4, 2013
|University Of Tennessee Research Foundation
|Method and apparatus for predicting object properties and events using similarity-based information retrieval and modeling
|Sep 20, 2007
|Mar 27, 2008
|Vodafone Ltd
|Fraud detection system
|U.S. Classification
|International Classification
|Cooperative Classification
|European Classification
|Mar 17, 2005
Owner name: THE 41ST PARAMETER INC., ARIZONA
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:EISEN, ORI;REEL/FRAME:015790/0826
Effective date: 20050316
|Jul 29, 2008
|Certificate of correction
|Nov 14, 2011
|Fee payment
Year of fee payment: 4


text:
Franchise Index: Previous Season / Next Season
0-3-0, Finished 16th in NFL · 1925 NFL Season Summary
Scored 6 points (2.0/g), 18th of 20 in the NFL. Allowed 25 points (8.3/g), 8th.
Differential of -19 points (-6.3/g), 14th. Expected W-L: 0.1-2.9.
Dewey Scanlon (0-3-0)
Stadium: Duluth Athletic Park
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Without further ado, here are the books that our nine1 judges selected for this year's Best Translated Book Award Fiction Longlist.
The Planets by Sergio Chejfec, translated from the Spanish by Heather Cleary (Open Letter Books; Argentina)
Prehistoric Times by Eric Chevillard, translated from the French by Alyson Waters (Archipelago Books; France)
The Colonel by Mahmoud Dowlatabadi, translated from the Persian by Tom Patterdale (Melville House; Iran)
Atlas by Dung Kai-Cheung, translated from the Chinese by Anders Hansson and Bonnie S. McDougall (Columbia University Press; China)
Kite by Dominique Eddé, translated from the French by Ros Schwartz (Seagull Books; Lebanon)
We, The Children of Cats by Tomoyuki Hoshino, translated from the Japanese by Brian Bergstrom and Lucy Fraser (PM Press; Japan)
The Map and the Territory by Michel Houellebecq, translated from the French by Gavin Bowd (Knopf; France)
Basti by Intizar Husain, translated from the Urdu by Frances W. Pritchett (New York Review Books; Pakistan)
Mama Leone by Miljenko Jergović, translated from the Croatian by David Williams (Archipelago Books; Croatia)
Awakening to the Great Sleep War by Gert Jonke, translated from the German by Jean M. Snook (Dalkey Archive Press; Austria)
My Struggle: Book One by Karl Knausgaard, translated from the Norwegian by Don Bartlett (Archipelago Books; Norway)
Satantango by László Krasznahorkai, translated from the Hungarian by George Szirtes (New Directions; Hungary)
Autoportrait by Edouard Levé, translated from the French by Lorin Stein (Dalkey Archive Press; France)
A Breath of Life: Pulsations by Clarice Lispector, translated from the Portuguese by Johnny Lorenz (New Directions; Brazil)
The Lair by Norman Manea, translated from the Romanian by Oana Sanziana Marian (Yale University Press; Romania)
The Hunger Angel by Herta Müller, translated from the German by Philip Boehm (Metropolitan Books; Romania)
Traveler of the Century by Andrés Neuman, translated from the Spanish by Nick Caistor and Lorenza Garcia (Farrar, Straus, and Giroux; Argentina)
Happy Moscow by Andrey Platonov, translated from the Russian by Robert Chandler and Elizabeth Chandler (New York Review Books; Russia)
With the Animals by Noëlle Revaz, translated from the French by Donald W. Wilson (Dalkey Archive Press; Switzerland)
Maidenhair by Mikhail Shishkin, translated from the Russian by Marian Schwartz (Open Letter Books; Russia)
Joseph Walser's Machine by Gonçalo M. Tavares, translated from the Portuguese by Rhett McNeil (Dalkey Archive Press; Portugal)
Island of Second Sight by Albert Vigoleis Thelen, translated from the German by Donald O. White (Overlook; Germany)
Dublinesque by Enrique Vila-Matas, translated from the Spanish by Rosalind Harvey and Anne McLean (New Directions; Spain)
Transit by Abdourahman A. Waberi, translated from the French by David Ball and Nicole Ball (Indiana University Press; Djibouti)
My Father's Book by Urs Widmer, translated from the German by Donal McLaughlin (Seagull Books; Switzerland)
As in recent years, we will be awarding $20,000 in cash prizes thanks to support from Amazon.com.
On April 10th, we'll announce the finalists in both the fiction and poetry categories, with the award ceremony taking place in New York City on Saturday, May 4th. (More details to come.)
1 This year's fiction judges are: Monica Carter, Salonica; Tess Doering Lewis, translator and critic; Scott Esposito, Conversational Reading and Center for the Art of Translation; Susan Harris, Words Without Borders; Bill Martin, translator; Bill Marx, Arts Fuse; Michael Orthofer, Complete Review; Stephen Sparks, Green Apple Books; and Jenn Witte, Skylight Books.
César Aira dishes up an imaginative parable on how identity shapes our sense of belonging with Dinner, his latest release in English. Aira's narrator (who, appropriately, remains nameless) is a self-pitying, bitter man—in his late fifties, living again with. . .
Originally published in French in 2007, We're Not Here to Disappear (On n'est pas là pour disparaître) won the Prix Wepler-Fondation La Poste and the Prix Pierre Simon Ethique et Réflexion. The work has been recently translated by Béatrice Mousli. . .
Even though the latest from Jean Echenoz is only a thin volume containing seven of what he calls "little literary objects," it is packed with surprises. In these pieces, things happen below the surface, sometimes both literally and figuratively. As. . .
Who is this woman? This is the question that opens Xiao Bai's French Concession, a novel of colonial-era Shanghai's spies and revolutionaries, police and smugglers, who scoot between doorways, walk nonchalantly down avenues, smoke cigars in police bureaus, and lounge. . .
For the past 140 years, Anna Karenina has been loved by millions of readers all over the world. It's easy to see why: the novel's two main plots revolve around characters who are just trying to find happiness through love.. . .
Linn Ullmann's The Cold Song, her fifth novel, is built much like the house about which its story orbits: Mailund, a stately white mansion set in the Norwegian countryside a few hours drive from Oslo. The house, nestled into the. . .
Karel Schoeman's Afrikaans novel, This Life, translated by Else Silke, falls into a genre maybe only noticed by the type of reader who tends toward Wittgenstein-type family resemblances. The essential resemblance is an elderly narrator, usually alone—or with one other. . .
In Joris-Karl Hyusmans's most popular novel, À rebours (Against Nature or Against the Grain, depending on the which translated edition you're reading), there is a famous scene where the protagonist, the decadent Jean des Esseintes, starts setting gemstones on the. . .
There are books that can only wisely be recommended to specific types of readers, where it is easy to know who the respective book won't appeal to, and Kristiina Ehin's Walker on Water is one these. What makes this neither. . .
Imagine the most baroque excesses of Goethe, Shakespeare, and Poe, blended together and poured into a single book: That is The Nightwatches of Bonaventura. Ophelia and Hamlet fall in love in a madhouse, suicidal young men deliver mournful and heartfelt. . .


text:
Someone in the Dark is an 1982 track from the audiobook and soundtrack album of Steven Spielberg's E.T. the Extra-Terrestrial. MCA Records was prohibited from releasing the recordings and single after court action taken by Epic Records due to the release of Jackson's Thriller album the same month. The song was later released as bonus material on the 2001 reissue of Thriller, and in 2004 as part of The Ultimate…
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Billie Jean (Home Demo From 1981)
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text: Do not stay here. Location is terrible and our experience was awful. (Stay in old Sukhothai) We booked online and were directed to the rooms behind the front desk that consisted of nothing more than a box spring to sleep on and ton of bugs. I say box spring because that is literally what we slept on. There were no... More


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All posts tagged "LOC kargil"
- Kareena Kapoor
The pataudi bahu gave us hits like Mai heroine hoon, Chammak challo and Fevicol se. She HAS to be in our...Bollywood CelebsJuly 30, 2013
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Created an uproar in BollywoodBollywood CelebsJanuary 30, 2013
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Holiday City is located in extreme northwest Ohio with immediate access to both the Ohio Turnpike (Exit 13 of I-80/I-90) and the Norfolk & Southern Railroad.
We invite you to come to Holiday City, Ohio for your next vacation, day trip, convention or meeting. While here, you can take a tour of Spangler Candy Company and Museum where the delicious Dum Dum Suckers and world famous candy canes are made. Come and experience fine wine tasting at Stoney Ridge Winery and Farm and enjoy the Art Spaces art gallery. Blow your own glass art at Glass Pieces Glass Blowing on your way to dinner and entertainment at the critically acclaimed Father John's Micro Brewery.
When your day is complete and you are ready for a good nights rest, make your reservations to stay at one our clean and always friendly Hotels and Motels!
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Home Hula Hoops Children and Youth
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Bright Colorful LED Luminescent Shoelaces, Batteries included. One size fits all, 2 laces in each single order.


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Closet Envy: Inside 'Dare to Wear' Host Tai Beauchamp's Fabulous Wardrobe view
4 ESSENCE Fest Fashionistas Who Give Us Serious Closet Envy view
Look Book: Ashley Madekwe view
"This dress highlights some of my favorites parts," Synclair reveals. "It was the...
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Jersey dress by Holy Tee, necklace, bracelet and ring, all by Lia Sophia, limited edition wedges by Té. Casan.
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It's been a tough year for Randy McDonough and the Watauga High boy's and girl's tennis teams. And it got a little tougher on Saturday.
Bobcats blank Trojans
And the Appalachian State University football team broke its four-game losing streak in a big way by knocking off No,24 Georgia Southern 38-14 on Saturday afternoon at Kidd Brewer Stadium. Saturday's win also broke a personal four-game losing streak at home.
Quarterback Titus Smith hooked up with Khris Gardin on an 80-yard touchdown pass with less than four minutes to play as Freedom defeated Hibriten 42-35 in Morganton, N.C., Friday night.


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Plans Manager - Kanban PRO New by Alex Nab Warning: Before download full version you can try Lite version which is absolutely free. This App was created only for … 0+ downloads, Rating 5.00 (1) Free
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Hotel Oviedo
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TripAdvisor Reviews Hotel Oviedo Merida
Travel Blogs from Merida
Parks, plazas and palacios
... of the city centre. This is where the wealthy families originally lived and some of their original houses still exist. I say houses, but we are taking mansions here that resemble some of the striking ones that you seem in places like Madrid, Paris or Rome. What was pleasing to see was the number of little parks that are dotted around the city where people can sit and read or drink their coffee. Many of them have little play areas for kids. It's great to ...
The Hacienda trail
... and the original horse carts, railway line and photographs remind you of the history long gone. A stunning cenote on property is used as a spa treatment location, bats come free of charge :)
We then continue on for another 40 minutes or so to Merida where we will call Hacienda Xcanatun home for one night.
Hacienda Xcanatun is also magical. Sprawling grass areas, stunning accommodations and we are all so excited to be spending a night here.
My room is nothing ...
Colonial Splendour
... cooking class. We had seen the menu of Mayan fish with annatto, cabbage salad & tortillas and decided on a cheap dinner again.
It turns out you can't buy beer after 5pm on a Sunday in M�rida so we decided to go to a pub instead. There was a pub one block up from the hostel on the street corner. La Negrita had swing doors like a wild west saloon and there was a noisy buzz chaos coming out onto the street. We paused for a bit just ...
... it actually being a holiday resort, there seems to be a hub of bricheros (I think I may have explained what they are when talking about Cusco...?). The hostel on Merida was also very luxurious with a ridiculous amount of hammocks, apparently they're the big thing in Merida, and it's own pool! I spent the first day just wandering around the city, dodging bricheros, though one did have quite a long chat with me about ...
Refried beans, Thieves and WONDERS OF THE WORLD
We arrived at Palenque's one and only hostel, which was covered in trees and home to a parrot that liked to poo on the reception floor. We all got very excited and proceeded to tell all family and friends that we were in the jungle. In fact, we spent most of our time in Palenque in the hostel cafe, Cafe Jade, where Amy could not eat one bite without celebrating how wonderful the food was. "Mmmm!" We did also manage to visit the ruins, which were ...
Other places to stay in Merida
Hyatt Regency MeridaAvenue Colon, Esq. Calle 60, Merida | 4 star hotelfrom $87
- Un de mes meilleurs s�jours dans un h�tel de luxe
- Good hotel with nice pool
- Hyatt Everything We Expected - For Better and For Worse
Fiesta Americana MeridaPaseo de Montejo 451, Merida | 4 star hotelfrom $94
Holiday Inn MeridaAvenida Colon 498 Entre Paseo Montejo Y Calle 60, Merida | 3 star hotelfrom $89
El CastellanoCalle 57, 513, Merida | 3 star hotelfrom $56
Los AluxesCalle 60 No. 444 x 49 y 51, Merida | 2 star hotelfrom $59
Mision MeridaCalle 59 No. 455, Merida | 2 star hotelfrom $54
Hotel El ConquistadorPaseo de Montejo Ave #458 X 35, Merida | 5 star hotelfrom $66
Hotel Maria del CarmenCalle 63 No. 550, Merida | 3 star hotelfrom $40
Merida Mision Park PlazaCalle 60 No. 491, Esquina con 57, Merida | 3 star hotelfrom $54
Montejo PalacePaseo de Montejo 483-C, Merida | 3 star hotelfrom $129
Gran Real YucatanCalle 56 No 474 Por 55 Centro, Merida | 3 star hotelfrom $61
Hacienda MisneCalle 19 No 172 X 6B, Merida | 4 star hotelfrom $152
Hotel Colonial476 Calle 62, Merida | 3 star hotelfrom $42
Hotel ResidencialCalle 59 No. 589 x 76 Centro, Merida | 3 star hotelfrom $45
BEST WESTERN Maya YucatanCalle 58 #483-55 y 57, Merida | Hotelfrom $40
Del GobernadorCalle 59 No. 535 x 66, Merida | 3 star hotelfrom $45
Caribe Hotel59 St and 60 St No. 500, Corner Inside Hidalgo Park, Downtown, Merida | 1 star hotelfrom $46
Intercontinental Presidente MeridaAvda Colon 500 Centro, Merida | 4 star hotelfrom $94
Casa del Balam HotelCalle 60 # 488 x 57, Merida | 3 star hotelfrom $77
- Affordable Luxury-A Fine Hotel
- Casa del Balam - what a treat!
- Perfect weekend place
Hotel Ibis MeridaCalle 58-A 495 Colonia Centro, Merida | 3 star hotelfrom $43
Hotel Ambassador MeridaCalle 59 No 546 x 68, Merida | 2 star hotelfrom $41
Hotel Plaza Mirador70 Numero 541A X 67 Centro, Merida | 2 star hotelfrom $37
Hotel ColonCalle 62 No. 483 entre 57 y 59, Merida | 1 star hotelfrom $37
Hotel el EspanolCalle 69 Num 543c por 70 , Merida | Hotelfrom $47
Hotel Maison del EmbajadorCalle 60 -- 472, Merida | 4 star hotelfrom $58


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